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--- |
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language: |
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- mr |
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license: cc-by-4.0 |
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size_categories: |
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- 10K<n<100K |
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task_categories: |
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- sentence-similarity |
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- text-retrieval |
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- text-ranking |
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pretty_name: MahaSTS |
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tags: |
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- Marathi NLP |
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- Sentence Similarity |
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- Marathi STS |
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- low-resource |
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--- |
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# MahaSTS Dataset |
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The MahaSTS dataset is a human-annotated Sentence Textual Similarity (STS) dataset for Marathi, consisting of 16,860 sentence pairs labeled with continuous similarity scores in the range of 0-5. It is designed to enable effective training for sentence similarity tasks in Marathi, particularly in low-resource settings. |
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**Paper**: [L3Cube-MahaSTS: A Marathi Sentence Similarity Dataset and Models](https://huggingface.co/papers/2508.21569) |
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**Code**: [https://github.com/l3cube-pune/MarathiNLP](https://github.com/l3cube-pune/MarathiNLP) |
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**Project page**: [https://github.com/l3cube-pune/MarathiNLP](https://github.com/l3cube-pune/MarathiNLP) |
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## Overview: |
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The **MahaSTS Dataset** is a human-annotated dataset for Sentence Textual Similarity (STS) in **Marathi**, designed to train and evaluate models on sentence similarity tasks. The dataset contains 16,860 Marathi sentence pairs, each labeled with a continuous similarity score in the range of 0–5. The dataset is split into training, validation, and test sets with a ratio of 85:10:5, ensuring balanced supervision. |
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Alongside the dataset, the **MahaSBERT-STS-v2** model is fine-tuned for regression-based similarity scoring, providing a baseline for Marathi sentence similarity tasks. |
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## Language: |
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- **Primary Language**: Marathi (Low-resource Indic Language) |
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## Dataset Size: |
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- **Total Sentence Pairs**: 16,860 |
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- **Train**: 14,328 sentence pairs |
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- **Validation**: 840 sentence pairs |
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- **Test**: 1,692 sentence pairs |
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- **Bucket Distribution**: |
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- 6 similarity buckets (0-5) |
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- 2,810 sentence pairs per bucket |
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## Annotation: |
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Each sentence pair is labeled with a continuous similarity score in the range of 0 to 5. The labels represent the degree of similarity between the two sentences, with 0 indicating no similarity and 5 indicating high similarity. |
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## Intended Use: |
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The dataset is intended for: |
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- **Sentence Similarity** |
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- **Regression Tasks** |
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- **Sentence Embeddings** |
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- **Marathi Embedding Model Benchmarking** |
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## Model Benchmarks: |
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The [**MahaSBERT-STS-v2**](https://huggingface.co/l3cube-pune/marathi-sentence-similarity-sbert-v2) model, fine-tuned on this dataset, provides a performance baseline. Other models like **MahaBERT**, **MuRIL**, **IndicBERT**, and **IndicSBERT** can be benchmarked for comparison. |
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## Citation: |
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If you use this dataset, please cite the following paper: |
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```bibtex |
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@article{mirashi2025l3cube, |
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title={L3Cube-MahaSTS: A Marathi Sentence Similarity Dataset and Models}, |
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author={Mirashi, Aishwarya and Joshi, Ananya and Joshi, Raviraj}, |
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journal={arXiv preprint arXiv:2508.21569}, |
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year={2025} |
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} |
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@article{joshi2022l3cube, |
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title={L3cube-mahanlp: Marathi natural language processing datasets, models, and library}, |
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author={Joshi, Raviraj}, |
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journal={arXiv preprint arXiv:2205.14728}, |
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year={2022} |
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} |
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``` |
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## License |
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This dataset is licensed under the [Creative Commons Attribution 4.0 International License (CC BY 4.0)](https://creativecommons.org/licenses/by/4.0/). |
